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DESCRIPTION:Click for Latest Location Information: http://edv2016.dataversity.net/sessionPop.cfm?confid=102&proposalid=9134\nIn this tutorial you will learn about modern Big Data technologies. We quickly explain the ideas of Big Data and then focus on the technologies to process and manipulate them. We start with Hadoop, and its reliable distributed file system. We show how to do Big Data analytics with Hive, Pig, and popular alternatives. We then introduce Spark, which addresses the weaknesses of Hadoop and enables high performance, near real-time processing, including the processing of data streams. We conclude with the overview of the notable members of the Hadoop ecosystem, such as HBase, Flume, Sqoop, as well as new systems such as Kafka and Flink.\n\nBig Data Differences\nHadoop Architecture\nProgramming Hadoop\nSpark: ?Lightning-Fast Cluster Computing?\nThe Hadoop Ecosystem\nBig Data in the Enterprise\n
DTSTART:20160922T083000
SUMMARY:S3: Building a Modern Big Data Enterprise: Hadoop, Spark, and Beyond
DTEND:20160922T155959
LOCATION: See Description
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